AI Deployment Strategist (AI)

Location: San Francisco Bay Area; remote role with 50%+ travel required

Company

Building an AI-powered platform that enables non-engineers to create secure enterprise software and internal systems.

What you will do

• Partner with Sales on pre-sales expansion design, including deployment, adoption, and expansion paths.
• Partner with the FDE team on customer onboarding and successful go-live.
• Drive activation and adoption among builders, business users, and administrators after go-live.
• Identify and use customer datasets, including use cases and product usage, to quantify platform value.
• Package and present insights and platform value to audiences from C-level executives to end users and builders.
• Serve as the primary point of contact for strategic customers, influence the product roadmap, and identify expansion opportunities.

Requirements

• 5+ years of experience in a customer-facing, strategic, or technical role such as Deployment Strategist, Program Management, or Management Consulting.
• Ability to investigate underlying data beyond surface-level answers and build prototypes, ship fixes, or write plans hands-on.
• High emotional intelligence and willingness to own difficult conversations with senior executives while presenting practical trade-offs.
• Demonstrated ability to influence without authority and lead cross-functional Product, Engineering, Sales, and Customer Success teams without direct reports or a formal mandate.
• Ability to operate in ambiguity without a playbook, adapt between leading and following, and proactively identify opportunities.
• Strong product sense and user empathy, especially when balancing cutting-edge AI capabilities with enterprise requirements.
• Commitment to building an AI company beyond a standard 9-to-5 role.

Culture & Benefits

• Remote work arrangement with 50%+ travel required.
• High-touch collaboration with strategic enterprise customers.
• Cross-functional work across Product, Engineering, Sales, Customer Success, and FDE teams.
• Focus on customer outcomes, low ego, proactive ownership, and operating effectively in ambiguity.